Techniques for Calibrating Borehole Propagation Model for Direction Drilling in Real Time

3. The method of claim 2, wherein said finding and said calculating are repeated until all of the predefined hyper parameter values are used, and said selecting one data window, said breaking, said finding and said calculating are repeated until all of the data windows are selected.

4. The method of claim 3, wherein said selecting one historical run, said selecting one data window, said breaking, said finding and said calculating are repeated until all or a subset of the historical runs are selected.

5. The method of claim 1, further comprising selecting a length of a calibration window of the real time sensor measurements based at least in part on a knowledge learned from the historical data and a desired control strategy.

8. The method of claim 1, wherein said optimizing the objective function includes weighting the real time sensor measurements based at least in part on a current drilling condition, a sensor quality, and a sensor distance to a bit.

9. The method of claim 1, wherein said optimizing the objective function includes determining the prior value based on a knowledge learned from the historical data.

11. The system of claim 10, further comprising a memory that stores the historical data received from a database.

13. The system of claim 12, wherein the processor repeats said finding and said calculating until all of the predefined hyper parameters are used, and repeats said selecting one data window, said breaking, said finding and said calculating until all of the data windows are selected.

14. The system of claim 13, wherein the processor repeats said selecting one historical run, said selecting one data window, said breaking, said finding and said calculating until all or a subset of the historical runs are selected.

15. The system of claim 10, wherein the processor selects a length of a calibration window of the real time sensor measurements based at least in part on a knowledge learned from the historical data and a desired control strategy.

16. The system of claim 15, wherein the processor detects a change in a directional drilling system's behavior and upon said detecting, automatically updates the length of the calibration window based on the change.

18. The system of claim 10, wherein said optimizing the objective function includes weighting the real time sensor measurements based on a current drilling condition, a sensor quality, a sensor distance to a bit.

19. The system of claim 10, wherein said optimizing the objective function includes determining the prior value based on a knowledge learned from the historical data.